Showing 6 open source projects for "arduino source code"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • 1
    Pearcleaner

    Pearcleaner

    A free, source-available and fair-code licensed mac app cleaner

    Pearcleaner is a free, source-available (under a "fair-code" license) macOS application cleaner. It’s inspired by tools like AppCleaner and aims to let users uninstall applications more completely, finding and removing leftover files, developer environment cache, launch agents/daemons, unneeded language files, and other app-related cruft. It also includes helpers for automation (CLI), drag-and-drop uninstalling, Finder integration, and background monitoring of trash for leftover items.
    Downloads: 3 This Week
    Last Update:
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  • 2
    KeyboardKit

    KeyboardKit

    KeyboardKit is a Swift library that helps you build custom keyboard

    KeyboardKit helps you build custom keyboard extensions with Swift and SwiftUI. KeyboardKit is a Swift-based SDK that helps you build custom keyboard extensions with Swift and SwiftUI. It extends the native keyboard APIs and provides you with a lot of functionality. The KeyboardKit project is open-source and completely free. It's hosted at GitHub, which is where you find information, documentation, sample code, demo apps etc. KeyboardKit Pro is a license-based extension to KeyboardKit...
    Downloads: 1 This Week
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  • 3
    Networking

    Networking

    Concise networking code leveraging async-await, Decodable & Generics

    Networking brings together URLSession, async-await (or Combine ), Decodable and Generics to simplify connecting to a JSON API. By providing a lightweight client that automates boilerplate code everyone has to write. By exposing a delightfully simple API to get the job done simply, clearly, and quickly. Getting swift models from a JSON API is now a problem of the past.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Reachability.swift

    Reachability.swift

    Replacement for Apple's Reachability re-written in Swift

    Reachability.swift is a replacement for Apple's Reachability sample, re-written in Swift with closures. It is compatible with iOS (8.0 - 12.0), OSX (10.9 - 10.14) and tvOS (9.0 - 12.0). Just drop the Reachability.swift file into your project. That's it! The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into the swift compiler. You can integrate using Apple's Swift package manager from xcode. All closures are run on the main queue.
    Downloads: 0 This Week
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  • Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use. Icon
    Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.

    Transform user access with Frontegg CIAM: login box, SSO, MFA, multi-tenancy, and 99.99% uptime.

    Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
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  • 5
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing...
    Downloads: 0 This Week
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  • 6
    Attabench

    Attabench

    Microbenchmarking app for Swift with nice log-log plots

    Attabench is a microbenchmarking app for macOS, designed to measure and visualize the performance of Swift code. This app is for microbenchmarking low-level algorithms with one degree of freedom (usually size). It works by repeatedly performing the same operation on random data of various sizes, while continuously charting the results in nice plots. Attabench's default log-log plots are ideal for seeing your algorithm's performance at a glance. Attabench was originally created to supply nice...
    Downloads: 0 This Week
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